Description

AI initiatives often fail not because the technology is weak, but because leaders lack the right metrics to evaluate success.

Key AI Metrics for Business Leaders is a concise, executive-focused guide to measuring AI performance in ways that align with business outcomes. Written for executives and product leaders, this book bridges the gap between technical model metrics and decision-relevant indicators.

Rather than focusing on algorithms, it explains how to define, interpret, and govern KPIs that matter at the business level.

Readers will learn how to:

Define AI KPIs aligned to strategy, risk, and value creation Distinguish technical performance metrics from business impact Measure adoption, reliability, and decision quality Track AI return on investment and opportunity cost Build governance dashboards for executive oversight Ask better questions of technical teams and vendors

This book equips leaders with a practical measurement framework to steer AI initiatives with confidence, accountability, and clarity.

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